The use of computer vision algorithms for automatic orientation of terrestrial laser scanning data
AbstractThe paper presents analysis of the orientation of terrestrial laser scanning (TLS) data. In the proposed data processing methodology, point clouds are considered as panoramic images enriched by the depth map. Computer vision (CV) algorithms are used for orientation, which are applied for testing the correctness of the detection of tie points and time of computations, and for assessing difficulties in their implementation. The BRISK, FASRT, MSER, SIFT, SURF, ASIFT and CenSurE algorithms are used to search for key-points. The source data are point clouds acquired using a Z+F 5006h terrestrial laser scanner on the ruins of Iłża Castle, Poland. Algorithms allowing combination of the photogrammetric and CV approaches are also presented.
|Journal series||The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, ISSN 1682-1750 [2194-9034]|
|Publication size in sheets||0.5|
|Conference||XXIII International Society for Photogrammetry and Remote Sensing Congress (XXIII ISPRS Congress), 12-07-2016 - 19-07-2016, Prague, Czechy|
|Keywords in English||Feature Extraction, Scan Registration, Computer Vision, analysis of image matching algorithms, TLS|
|Score|| = 15.0, 28-11-2017, ArticleFromJournalAndMatConf|
= 15.0, 28-11-2017, ArticleFromJournalAndMatConf
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